Use predictive modeling and what-if analysis to find out how different variables will affect the supply/demand balance.

Discover how supply and demand planning solutions from SAS use machine learning, automation and optimization to help you ensure the right level of product is available to cover demand across all channels.

Why SAS for supply & demand planning?

Trust the accuracy of your forecasts at scale and in detail. Collaborate internally and with suppliers to plan promotions and price changes. Avoid lost sales, out-of-stocks and missed opportunities resulting from inaccurate forecasts.

Improve forecasting accuracy

Model and forecast all your products and selling locations with a patented statistical forecasting engine that uses advanced forecasting methods.

Optimize inventory and reduce stockouts

Use analytics to drive product where it's needed most to meet customer demand while managing the overall costs of inventory.

Take the guesswork out of forecasting

Use retail forecasting models that include underlying trends, seasonality, promotions, etc. Automated, large-scale forecasting selects the best-fit model based on individual time series.